I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Novel Method for Induction Motor Fault Identification Bas..:
, In:
2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
,
Zhao, Lujie
;
Huang, Yixiang
;
Xiao, Dengyu
.. - p. 90-96 , 2019
Link:
https://doi.org/10.1109/SDPC.2019.00025
RT T1 <cTitle>2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)</cTitle>: T1 <Title>A Novel Method for Induction Motor Fault Identification Based on MSST and LightGBM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9168966&Exemplar=1&LAN=DE A1 Zhao, Lujie A1 Huang, Yixiang A1 Xiao, Dengyu A1 Li, Yanming A1 Liu, Chengliang YR 2019 K1 Induction motors K1 Feature extraction K1 Fault diagnosis K1 Vibrations K1 Rotors K1 Decision trees K1 fault diagnosis K1 induction motor K1 MSST K1 GLCM K1 LightGBM SP 90 OP 96 LK http://dx.doi.org/https://doi.org/10.1109/SDPC.2019.00025 DO https://doi.org/10.1109/SDPC.2019.00025 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
